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Predicting health resilience in pediatric type 1 diabetes: A test of the resilience model framework

  • Jennifer M. Rohan
  • , Bin Huang
  • , Jennifer Shroff Pendley
  • , Alan Delamater
  • , Lawrence Dolan
  • , Grafton Reeves
  • , Dennis Drotar
  • Cincinnati Children's Hospital Medical Center
  • University of Cincinnati
  • University of Miami
  • Alfred I. duPont Hospital for Children

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Objectives This research examined whether individual and family-level factors during the transition from late childhood to early adolescence protected individuals from an increased risk of poor glycemic control across time, which is a predictor of future diabetes-related complications (i.e., health resilience). Methods This longitudinal, multisite study included 239 patients with type 1 diabetes and their caregivers. Glycemic control was based on hemoglobin A1c. Individual and family-level factors included: demographic variables, youth behavioral regulation, adherence (frequency of blood glucose monitoring), diabetes self-management, level of parental support for diabetes autonomy, level of youth mastery and responsibility for diabetes management, and diabetes-related family conflict. Results Longitudinal mixed-effects logistic regression indicated that testing blood glucose more frequently, better self-management, and less diabetes-related family conflict were indicators of health resilience. Conclusions Multiple individual and family-level factors predicted risk for future health complications. Future research should develop interventions targeting specific individual and family-level factors to sustain glycemic control within recommended targets, which reduces the risk of developing future health complications during the transition to adolescence and adulthood.

Original languageEnglish
Pages (from-to)956-967
Number of pages12
JournalJournal of Pediatric Psychology
Volume40
Issue number9
DOIs
StatePublished - 27 Oct 2014

Keywords

  • diabetes
  • health promotion and prevention
  • longitudinal research
  • resilience

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